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CRISPRtools: a flexible computational platform for performing CRISPR/Cas9 experiments in the mouse

Overview of attention for article published in Mammalian Genome, March 2017
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Title
CRISPRtools: a flexible computational platform for performing CRISPR/Cas9 experiments in the mouse
Published in
Mammalian Genome, March 2017
DOI 10.1007/s00335-017-9681-z
Pubmed ID
Authors

Kevin A. Peterson, Glen L. Beane, Leslie O. Goodwin, Peter M. Kutny, Laura G. Reinholdt, Stephen A. Murray

Abstract

Genome editing using the CRISPR/Cas9 RNA-guided endonuclease system has rapidly become a driving force for discovery in modern biomedical research. This simple yet elegant system has been widely used to generate both loss-of-function alleles and precision knock-in mutations using single-stranded donor oligonucleotides. Our CRISPRtools platform supports both of these applications in order to facilitate the use of CRISPR/Cas9. While there are several tools that facilitate CRISPR/Cas9 design and screen for potential off-target sites, the process is typically performed sequentially on single genes, limiting scalability for large-scale programs. Here, the design principle underlying gene ablation is based upon using paired guides flanking a critical region/exon of interest to create deletions. Guide pairs are rank ordered based upon published efficiency scores and off-target analyses, and reported in a concise format for downstream implementation. The exon deletion strategy simplifies characterization of founder animals and is the strategy employed for the majority of knockouts in the mouse. In proof-of-principle experiments, the effectiveness of this approach is demonstrated using microinjection and electroporation to introduce CRISPR/Cas9 components into mouse zygotes to delete critical exons.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 3 23%
Professor 2 15%
Student > Master 2 15%
Other 1 8%
Other 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 46%
Agricultural and Biological Sciences 6 46%
Medicine and Dentistry 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2017.
All research outputs
#7,232,017
of 8,366,012 outputs
Outputs from Mammalian Genome
#611
of 647 outputs
Outputs of similar age
#202,625
of 243,628 outputs
Outputs of similar age from Mammalian Genome
#5
of 7 outputs
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